dask 2021.10.0

NotesParametersReturnsBackRef
flipud(m)

This docstring was copied from numpy.flipud.

Some inconsistencies with the Dask version may exist.

For a 2-D array, this flips the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before.

Notes

Equivalent to m[::-1, ...] or np.flip(m, axis=0) . Requires the array to be at least 1-D.

Parameters

m : array_like

Input array.

Returns

out : array_like

A view of m with the rows reversed. Since a view is returned, this operation is $\mathcal O(1)$ .

Reverse the order of elements along axis 0 (up/down).

See Also

flip

Flip array in one or more dimensions.

fliplr

Flip array in the left/right direction.

rot90

Rotate array counterclockwise.

Examples

This example is valid syntax, but we were not able to check execution
>>> A = np.diag([1.0, 2, 3])  # doctest: +SKIP
... A # doctest: +SKIP array([[1., 0., 0.], [0., 2., 0.], [0., 0., 3.]])
This example is valid syntax, but we were not able to check execution
>>> np.flipud(A)  # doctest: +SKIP
array([[0.,  0.,  3.],
       [0.,  2.,  0.],
       [1.,  0.,  0.]])
This example is valid syntax, but we were not able to check execution
>>> A = np.random.randn(2,3,5)  # doctest: +SKIP
... np.all(np.flipud(A) == A[::-1,...]) # doctest: +SKIP True
This example is valid syntax, but we were not able to check execution
>>> np.flipud([1,2])  # doctest: +SKIP
array([2, 1])
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.routines.fliplr

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